NBA Early-Career Competition Analysis
  • Full Analysis
  • Code

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  • Executive Summary
    • Objective
    • Key Insight
    • Methods
    • Quick Takeaways
    • Why It Matters
    • Deep Dive

NBA Early-Career Competition Analysis

Author

Dominique Morris

Executive Summary

Objective

Examine how rookie- and sophomore-year positional competition affects NBA lottery picks’ scoring trajectories over their first five seasons. Positional competition measures how crowded a player’s role is on their team.


Key Insight

★ After accounting for individual and team-level factors, players facing more competition in their sophomore year start strong but plateau, or even decline in points per game over time, while rookie-year competition slightly boosts baseline scoring without affecting growth.


Methods

  • Data: Player stats from Basketball Reference, cleaned and processed in Python and R.

  • Model: Linear mixed-effects model capturing player-level differences over time.

  • Validation: Confidence intervals and diagnostics ensured reliable estimates.

  • Visualization: Interactive plots of predicted scoring trajectories.


Quick Takeaways

  • Sophomore-year competition matters: Players with more competition peak early, then flatten or decline.

  • Rookie-year competition has smaller effect: Slightly raises baseline scoring without impacting growth.

  • Overall Pattern: Early-career competition gives modest initial gains that fade over time.


Why It Matters

The methods used here apply beyond sports:

  • Finance: Modeling portfolio growth under varying conditions.

  • Healthcare: Tracking patient outcomes over treatment timelines.

  • Education: Evaluating student performance trajectories in different learning environments.


Deep Dive

The full analysis including data processing, model diagnostics, and detailed results is available:

Read the Full Analysis